Senior Specialist - Data Sciences

GenAI LLM Engineering

Design develop and deploy LLMpowered applications using leading foundation models OpenAI Azure OpenAI Anthropic opensource LLMs

Build LLMbased AI agents capable of multistep reasoning tool use orchestration and autonomous workflows

Implement and optimize agent frameworks LangChain LlamaIndex Semantic Kernel AutoGen CrewAI etc

Engineer robust prompting strategies memory mechanisms and toolaugmented reasoning

RAG Knowledge Systems

Design and implement RetrievalAugmented Generation RAG architectures

Build embedding pipelines using vector databases FAISS Pinecone Weaviate Azure AI Search Chroma

Optimize document ingestion chunking strategies metadata management and reranking

Ensure accuracy relevance and performance of AIgenerated responses

Machine Learning Model Integration

Apply practical ML concepts including classification clustering ranking and similarity search where applicable

Integrate traditional ML models with LLMbased systems for hybrid AI solutions

Evaluate finetune and test models using appropriate performance metrics

Data Engineering Pipelines

Develop and maintain data pipelines for structured and unstructured data using Python and SQL

Work with large datasets APIs and streamingbatch processing frameworks

Ensure data quality lineage observability and governance within AI workflows

MLOps CICD Productionization

Build CICD pipelines for AI and ML workloads including model versioning and automated testing

Deploy AI services in containerized environments Docker Kubernetes

Implement monitoring for model performance drift latency and cost

Ensure security access control and compliance for AI systems

Cloud Platform Engineering

Design and deploy AI solutions on cloud platforms such as AWS Azure or GCP

Leverage managed AIML services serverless components and scalable infrastructure

Optimize cost performance and reliability of AI workloads

Collaboration Stakeholder Engagement

Partner with product platform and business teams to translate requirements into AI solutions

Document architectures design decisions and operational runbooks

Provide guidance on GenAI best practices risks and responsible AI usage

Candidate must be willing to work onsite remote is not an option, We are seeking a highly skilled GenAI Engineer to design build and operationalize nextgeneration AI solutions leveraging Large Language Models LLMs AI agents RetrievalAugmented Generation RAG architectures and scalable cloud platforms This role requires strong handson expertise across AI concepts model integration data pipelines and MLOpsCICD with the ability to translate business problems into productiongrade AI systems, Core Technical Skills

Strong proficiency in Python and working knowledge of SQL

Solid foundation in AIML concepts with handson experience deploying models

Proven experience with LLMs AI agents and agent frameworks

Handson expertise with RAG architectures and vector databases

Experience implementing CICD pipelines for AI or ML systems

Strong understanding of data pipelines and distributed data processing

Experience working on at least one major cloud platform AWS Azure or GCP

Preferred Good to Have

Experience finetuning LLMs LoRA PEFT RLHF concepts

Familiarity with evaluation frameworks for GenAI hallucination testing grounding latency benchmarks

Exposure to governance security and compliance considerations for enterprise AI

Background in domains such as BFSI healthcare or regulated industries

Education

Bachelors or Masters degree in Computer Science Engineering Data Science or a related field or equivalent practical experience

What Success Looks Like

Scalable reliable GenAI solutions deployed to production

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation., Compensation range: $93,000.00 to $142,000.00 per year

LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert