What are the responsibilities and job description for the AI/ML Engineer position at L&T Technology Services?
Role: AI/ML Engineer
Location: Plano, TX
Duration: Fulltime
Job Description:
We are seeking an AI ML Engineer to design, develop, and deploy Generative AI applications, with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows. The ideal candidate will have hands-on experience building applications using LLMs, vector databases, and agent harnesses, along with experience in Azure stack. This role involves developing scalable, production-grade AI solutions that integrate enterprise data with advanced reasoning and automation capabilities
Responsibilities:
- Design and build agentic applications using Langchain or similar, integrating enterprise data sources (Azure Databricks, documents, APIs)
- Build and optimize RAG vector databases for use by agents using tools like Azure AI Search, or similar
- Integrate LLMs (Azure OpenAI, GPT models) into enterprise applications with proper prompt engineering and optimization
- Implement evaluation, monitoring, and guardrails for AI systems (accuracy, bias, hallucination control)
- Collaborate with data engineers and application teams to integrate AI solutions into production systems
- Optimize application performance, latency, and cost for large-scale deployments
- Communicate insights clearly to both technical and non-technical stakeholders
Minimum Qualifications
- 2 years of experience in AI/ML Engineering, Data Science, or related field
- Experience using data from Azure Databricks or similar relational databases
- Strong hands-on experience with Python (core development language), Git, Github; LLM frameworks especially Langchain; RAG architectures and vector search concepts
- Experience with Azure AI ecosystem, including Azure OpenAI models and Azure AI Search
- Understanding of AI ML concepts, LLMs, vector databases, RAG, agents
- Familiarity with APIs, microservices, MCP and scalable system design
- Strong communication skills
The expected salary range for this position is between $74,500 to $94,500 annually. The actual salary may vary based upon several factors including, but not limited to, relevant skills/experience, time in role, base salary of internal peers, prior performance, business line, and geographic/office location.
Salary : $74,500 - $94,500