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8 jobs found

9d ago

Machine Learning Engineer

Tata Consultancy Services Sunrise, FL

Sunrise, FL

9d ago

$90k - $110k/yr Full time Agentic Ai Ai Ml Artificial Intelligence

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Job Description

What we offer

At Tata Consultancy Services in Sunrise, FL, you will design and deploy GenAI solutions powered by large language models, delivering end-to-end GenAI use cases and production-ready systems. The environment emphasizes collaboration, continuous learning, and real-world impact. Benefits include a discretionary annual incentive and a comprehensive package that supports health, family, finances, and professional growth. You will have access to medical coverage, dental and vision plans, disability protection, pet insurance, and a suite of insurance options. The role also supports maternal and parental leaves, auto and home insurance, identity theft protection, commuter benefits, certification and training reimbursement, generous time off, and resources for legal and financial planning, 401K, performance bonuses, college funds, and student loan refinancing. This is a culture that values growth, responsibility, and sustained, practical AI delivery.

Location

Sunrise, FL — Onsite

Compensation

Salary: USD 90,000 - 110,000 per year

Role overview

Tata Consultancy Services is seeking a Machine Learning Engineer to design, build, and deploy GenAI solutions powered by large language models, focusing on end-to-end GenAI use cases and production-ready systems.

Responsibilities

Design, develop, and deploy GenAI applications using large language models
Construct agent-driven workflows with LangChain and LangGraph
Develop machine learning models and production-ready AI solutions
Implement and govern LLM memory and state management strategies
Fine-tune prompts, optimize retrieval pipelines, and coordinate orchestration workflows
Collaborate with product and platform teams to deliver scalable AI solutions
Deploy, monitor, and maintain AI/ML systems in production environments
Evaluate and integrate open-source and proprietary LLMs for deployment

Requirements

8+ years of experience in ML engineering or related field
Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
Hands-on experience with LangChain and/or LangGraph
Solid understanding of LLM memory architecture and state management
Proficiency in Python and ML engineering best practices

Technologies

LangChain
LangGraph
Python
OpenAI
Anthropic
Llama
Mistral
Vertex AI
BigQuery
GCS

Desired skills

Machine Learning

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17d ago

Senior Data Engineer - Analytics

Everforth Bristol, PA 🇺🇸 Remote

Bristol, PA

17d ago

Full time Senior Analytics Artificial Intelligence

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Job Description

Everforth invites you to join as an Analytics Engineer, shaping data models, transformation pipelines, and APIs that power dashboards, ML features, and downstream systems. This Bristol, PA based role supports remote work and collaborates across data science, analytics, and engineering teams to standardize metrics, elevate data quality, and enable self service analytics across the organization.

Responsibilities

Design, develop, and maintain reliable ELT/ETL pipelines using dbt Core and SQL to target BigQuery.
Create modular, tested SQL models and Python-based transformations to support analytics, reporting, and ML feature generation.
Implement data quality checks, lineage, and observability to ensure dependable analytics outputs and service levels.
Partner with product, analytics, and ML teams to define metric definitions and translate business requirements into efficient data models.
Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; integrate LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on GCP, using Cloud Run and other serverless options when suitable.
Optimize BigQuery performance and cost through partitioning, clustering, and query tuning.
Document data models, transformation logic, and runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

Requirements

3+ years of experience in analytics engineering, data engineering, or related roles building analytics pipelines and data models.
Experience working with Healthcare Claims Data.
Expert-level SQL proficiency and strong Python experience for data transformation, orchestration, or testing.
Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and incorporating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
Authorized to work in the United States without sponsorship.

Technologies

dbt Core
SQL
Python
BigQuery
Google Cloud Platform
Cloud Run
RESTful APIs
LLM APIs
Vertex AI
FastAPI

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19d ago

Senior Data Engineer - Analytics

Everforth Bristol, PA 🇺🇸 Remote

Bristol, PA

19d ago

Full time Senior Analytics Artificial Intelligence

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Job Description

Everforth is seeking a Senior Data Engineer - Analytics for a 100% remote role. You will design, build, and maintain analytics infrastructure, data models, ELT and ETL pipelines using dbt Core and SQL, and RESTful APIs to power dashboards, ML features, and self service analytics.

This fully remote position focuses on creating scalable data foundations and reliable analytics outputs. You will collaborate with product, analytics, and ML teams to define metrics and translate business requirements into performant data models, optimize BigQuery workloads, and uphold data quality, observability, and SLAs. You will document data models and runbooks and mentor teammates on dbt, SQL, and analytics engineering.

Responsibilities

Design, develop, and maintain robust ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery.
Author modular, tested SQL models and Python-based data transformations to support analytics, reporting, and ML feature generation.
Implement data quality checks, lineage, and observability to ensure reliable analytics outputs and SLAs.
Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into performant data models.
Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; implement and consume LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when appropriate.
Optimize performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.
Document data models, transformation logic, and operational runbooks; mentor teammates on best practices for dbt, SQL, and analytics engineering.

Requirements

3+ years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
Expert proficiency in SQL and strong experience with Python for data transformation, orchestration, or testing.
Experience working with Healthcare Claims Data.
Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features.
Nice to have: domain knowledge of healthcare claims and related data models.
US work authorization required: You must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa.

Technologies

dbt Core
SQL
Python
BigQuery
Google Cloud Platform (GCP)
Cloud Run
Vertex AI
FastAPI
RESTful APIs
LLM APIs

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28d ago

AI Developer

Family Dollar Chesapeake, VA

Chesapeake, VA

28d ago

Full time Ai Agents Ai Workflows Artificial Intelligence

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Job Description

This on-site AI Developer role in Chesapeake, VA, focuses on building production AI workloads on Google Cloud Platform, including agentic AI, MLOps pipelines, and vendor integrations, from incubation through deployment. The position emphasizes developing in-house AI capabilities with guardrails, experimentation, and mentoring for junior engineers.

Responsibilities

Design, build, and deploy production AI applications on Google Cloud Platform, applying machine learning and generative AI techniques to solutions across merchandising, supply chain, store operations, finance, and customer experience.
Develop agentic AI applications using modern agent development kits and frameworks, including multi-agent workflows, tool integration, and human-in-the-loop checkpoints.
Construct and operate retrieval-augmented generation solutions that ground large language models in Family Dollar data, covering ingestion, embeddings, vector and hybrid search, reranking, and evaluation.
Establish and maintain MLOps pipelines for AI workloads, including CI/CD, model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures.
Implement enterprise-grade guardrails for AI applications, including prompt injection defense, PII handling, content safety, role-based access controls, and audit logging, collaborating with platform, security, infrastructure, and business stakeholders to meet standards on identity, networking, data residency, and compliance.
Evaluate vendor and partner AI products for suitability within Family Dollar's IT environment; develop proofs of concept, conduct technical bake-offs, and deliver clear recommendations.
Execute experiments to assess emerging AI capabilities and determine internal product-market fit.
Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution.
Manage the full lifecycle of code, from initial prompt engineering and fine-tuning to CI/CD and real-time monitoring of agent performance.
Mentor junior engineers and share knowledge across the AI and Automation team.
Collaborate with IT support teams to co-own AI application support, including on-call coverage, while transitioning ownership through SOPs, runbooks, and helpdesk documentation.
Performs other duties as assigned.

Requirements

Authorized to work in the United States without the need for current or future visa sponsorship.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; Master’s degree is preferred.
8+ years of progressive IT experience in large, cross-functional teams or projects, preferably within a retail environment.
Proficient in writing clean, well-tested Python code, participating in code reviews, and contributing to internal libraries, templates, and engineering best practices.
Ability to develop, present, and communicate technical concepts to varied audiences.
Demonstrates urgency and the ability to motivate a team in a dynamic environment.
Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc).
Advanced knowledge of recent GenAI platform advancements from leading providers and hyperscalers.
Experience with responsible AI practices, model governance, and frameworks for evaluating LLM safety and accuracy.
Contributions to open-source AI projects or relevant publications.

Technologies

Python
Google Cloud Platform
Google Agent Development Kit
Gemini Agent Platform
LangGraph

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1mo ago

AI Software Engineer

TEKWISSEN SOFTWARE PRIVATE LIMITED Dallas, TX

Dallas, TX

1mo ago Closed

$85 - $95/hr Contract Ai Agents Ai Workflows Anthropic

This position is no longer accepting applications (closed Jul 25, 2026).

Job Description

This contract role is for a hands-on AI Native Software Engineer who will design, build, and deploy production-grade AI systems within enterprise environments. The work centers on agent-based workflows, AI platform integration, and scalable cloud-native development, with responsibilities spanning model-agnostic interfaces, platform orchestration, and robust production practices. The position is based onsite in Dallas, TX.

Job Details

Location: Dallas, TX (onsite)
Salary: USD 85 - 95 per hour
Job type: Contract
Experience required: 8+ years

Overview

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan. The organization delivers strategic talent solutions to clients worldwide, supporting a range of enterprise technology initiatives.

Responsibilities

AI Agent Engineering: design and implement AI agents, including retrieval (RAG), orchestration workflows, tool and function invocation, policy-based routing; build evaluation frameworks for accuracy, latency, and reliability; establish observability and monitoring for agent lifecycles
AI Platform Integration: connect with AI providers (OpenAI, Anthropic, Vertex AI, and open-source models); create abstraction layers to support multi-model and multi-provider architectures; optimize model usage for performance, cost, and latency
Cloud-Native Development: develop scalable services using microservices, containers (Docker, Kubernetes), serverless and event-driven patterns; implement CI/CD pipelines and infrastructure as code (Terraform, Helm); ensure production readiness with logging, monitoring, and fault tolerance
Application Development: build and deploy AI-powered applications aligned to business workflows; integrate AI systems into existing enterprise platforms and APIs; develop backend services and APIs supporting agent workflows
Testing & Performance: define and execute test strategies for AI systems; measure latency, throughput, accuracy, and cost; diagnose and optimize production systems

Requirements

8–10+ years of software engineering experience
Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
Proficiency in Python, Java, or similar backend languages
CI/CD pipelines
Infrastructure as code
Monitoring and observability tools
Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)

Technologies

Python
Java
Docker
Kubernetes
Terraform
Helm
OpenAI
Anthropic
Vertex AI
Claude
LangGraph
AutoGen
CrewAI
CI/CD pipelines
Infrastructure as code
Monitoring and observability tools

Experience with

CI/CD pipelines
Infrastructure as code
Monitoring and observability tools
Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)

Preferred Experience

Experience with agent frameworks (LangGraph, AutoGen, CrewAI)
Designing multi-agent or distributed AI systems
Familiarity with enterprise-scale system integration
Experience optimizing AI workloads for cost and performance

Scope & Expectations

This is a 100 percent hands-on engineering role with no people management responsibilities. The incumbent will deliver production-quality code and deployments, operate within existing architecture and engineering standards, and collaborate with client and internal engineering teams as needed. Participation in implementation-focused technical design discussions is expected.

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1mo ago

Machine Learning Engineer (Agent & Inference) - (Chinese Mandarin Speaker)

Bitus Labs Irvine, CA

Irvine, CA

1mo ago Closed

$130k+/yr Full time Ai Agents Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Jul 18, 2026).

Job Description

Bitus Labs is seeking a Machine Learning Engineer to join the AI Engineering team, focusing on agent systems and production inference for an online gaming product. The role emphasizes designing LLM powered agents, memory and RAG pipelines, vector-store infrastructure, and production inference, with fluency in Mandarin Chinese required.

Benefits and culture

401(k)
401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Parental leave
Retirement plan
Vision insurance

Salary

USD 130,000 per year

Location and work setup

Irvine, CA 92618 (onsite; in-person work)
Relocation to Irvine, CA 92618 before start date (required)

Responsibilities

Architect and refine LLM driven agents, including planning, tool integration, workflow orchestration, and multi-step reasoning
Design memory systems for short-term and long-term storage, context management, and session state
Develop and optimize retrieval augmented generation pipelines for relevance, grounding, freshness, and retrieval quality
Build and operate vector-store infrastructure using pgvector, Milvus, Qdrant, or Weaviate
Define evaluation methodologies for agents, prompts, and workflows
Improve end-to-end agent quality, latency, reliability, and operating cost
Develop and run production inference services that are low-latency, high-concurrency, and highly reliable
Support online-learning models such as contextual bandits and reinforcement learning policies with real-time inference and online parameter updates
Deploy and optimize AI inference systems for latency, throughput, reliability, and resource efficiency
Analyze and resolve inference-serving bottlenecks
Assist in deployment and serving of recommendation, ranking, and RL models created by research scientists
Apply lightweight model adaptation techniques such as LoRA, QLoRA, and PEFT when appropriate for domain needs
Build and maintain deployment pipelines, observability systems, and tracing infrastructure for agents and serving endpoints
Monitor quality regression, performance degradation, and model drift
Maintain version control for models, prompts, datasets, and agent configurations
Contribute to automated validation, testing, and CI/CD workflows for AI systems
Collaborate with research scientists, backend engineers, and data scientists to integrate AI systems into production products
Document systems, best practices, and internal tooling
Contribute to engineering standards and operational excellence across AI initiatives

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
3+ years of industry experience in Machine Learning Engineering or related roles
Strong software and systems engineering experience building low-latency, reliable production services in Go, Rust, C++, or equivalent
Experience with real-time inference systems for recommendation, ranking, contextual bandits, reinforcement learning, or similar adaptive ML applications
Strong experience with PyTorch and the Hugging Face ecosystem
Experience building production LLM or agent applications (e.g., LangGraph, LlamaIndex, or equivalent frameworks)
Hands-on experience with RAG systems, embeddings, and vector databases
Experience evaluating and monitoring LLM or agent systems in production
Experience deploying and optimizing production machine learning or LLM systems
Understanding of inference runtime behavior, resource utilization, latency optimization, and production serving performance
Experience with Docker and Kubernetes
Experience with cloud platforms such as AWS, GCP, or Azure
Fluent Mandarin Chinese

Technologies

Go
Rust
C++
PyTorch
Hugging Face
LangGraph
LlamaIndex
pgvector
Milvus
Qdrant
Weaviate
Docker
Kubernetes
AWS
GCP
Azure
LoRA
QLoRA
PEFT
CUDA
OpenAI Triton
TFLite
CoreML
FSDP
DeepSpeed
Spark
Hadoop

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1mo ago

Senior Data Engineer - Analytics

Everforth CyberCoders Philadelphia, PA 🇺🇸 Remote

Philadelphia, PA

1mo ago Closed

Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Senior Data Engineer - Analytics role with Everforth CyberCoders, fully remote from Philadelphia, PA.

Responsibilities

Design, develop, and maintain scalable ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery.
Create modular, tested SQL models and Python-based data transformations to support analytics, reporting, and ML feature generation.
Implement data quality checks, lineage, and observability to ensure reliable analytics outputs and SLAs.
Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into performant data models.
Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; implement and consume LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when appropriate.
Optimize performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.
Document data models, transformation logic, and operational runbooks; mentor teammates on best practices for dbt, SQL, and analytics engineering.

Requirements

3+ years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
Experience working with Healthcare Claims Data.
Expert proficiency in SQL and strong experience with Python for data transformation, orchestration, or testing.
Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
Authorization to work in the United States without sponsorship for a non-immigrant visa.
First posted by CyberCoders on 06/10/2026; applications will be accepted on an ongoing basis until the position is filled or closed.
Everforth CyberCoders is an Equal Opportunity Employer.

Technologies

dbt Core
SQL
BigQuery
Python
Google Cloud Platform (GCP)
Cloud Run
Vertex AI
FastAPI
LLM APIs
RESTful APIs

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1mo ago

CCAI Voice AI Solutions Developer

Intone Networks Richardson, TX

Richardson, TX

1mo ago Closed

Full time Ai Agents Artificial Intelligence Automation

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