Senior Agentic AI Engineer

Tata Consultancy Services Ltd

  • Houston, TX
  • 13 days ago
  • $120,000–$150,000 Per Year

Highlights

Design robust agent workflows using frameworks such as LangGraph, CrewAI, AutoGen, or the OpenAI/Anthropic agent SDKs; integrate tools via MCP and function calling. Strong Python (TypeScript a plus); deep familiarity with LLM APIs (OpenAI, Anthropic, Gemini, open-weight models) and prompt/context engineering.

Numbers & Facts

LocationHouston, TX
Salary$120,000–$150,000 Per Year

Description

Role: Senior Engineer

Required Skills: Artificial Intelligence | API(Application programming interface)

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 8 - 20 Years

Function: TECHNOLOGY

Apply By: 2026-12-07

Must-Have

  • 4-6 years software engineering experience, including 2+ hands-on experience building LLM-based applications in production.

Strong Python (TypeScript a plus); deep familiarity with LLM APIs (OpenAI, Anthropic, Gemini, open-weight models) and prompt/context engineering.

Hands-on experience with agent frameworks, tool/function calling, structured outputs, and multi-agent orchestration patterns.

Experience with vector databases (Pinecone, Weaviate, pgvector, etc.), embeddings, and retrieval system design.

Solid backend fundamentals: APIs, async systems, distributed services, Docker/Kubernetes, and cloud platforms.

Practical knowledge of LLM evaluation, safety, and reliability techniques; comfort working with imperfect, probabilistic systems.

Excellent communication skills and a track record of ownership in fast-moving environments.

Good-to-Have

Fine-tuning / RLHF experience, open-source contributions to AI tooling, or published work on agents.

Experience with MLOps/LLMOps platforms (LangSmith, Langfuse, Weights & Biases, MLflow) and enterprise security/compliance requirements.

Architect and build multi-step, tool-using LLM agents (planning, memory, retrieval, orchestration) for production use cases.

Design robust agent workflows using frameworks such as LangGraph, CrewAI, AutoGen, or the OpenAI/Anthropic agent SDKs; integrate tools via MCP and function calling.

Collaborate with solution architects, product teams, and application owners to implement integration designs.

Build RAG pipelines, vector search, and context-management strategies that keep agents accurate and cost-efficient.

Strong Python (TypeScript a plus); deep familiarity with LLM APIs (OpenAI, Anthropic, Gemini, open-weight models) and prompt/context engineering.

Salary Range: $120,000-$150,000 a year

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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