Generative AI Engineer

About Us:

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit .

Role: Generative AI Engineer

Location: New Jersey City, NJ

Work Mode Hybrid (3 days from client office)

Experience: 10+ Years

Job Description

Looking for a hands-on AI Engineer to work on a high visibility Gen AI project involving summarization and chatbot supporting a huge volume of documents from various LOBs and of various types.

This position is for a self-starter with strong technical skills as well as leadership qualities, and should be able to effectively communicate difficult technical concepts.

Leads the design, development and implementation of complex data management, storage applications, often using new technologies. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criterion for obtaining results. Work leadership may be provided by assigning work and resolving problems. Requires a Bachelors degree or advanced degree and /or equivalent experience in related IS/IT discipline. Excellent written and verbal communication skills coupled with ability to translate business strategy into achievable tactics. Over 10 years of related IT experience.

Skills:

2+ years of professional experience as a data scientist executing end-to-end Gen AI projects using following technologies

- LLM Models (Llama, Mixtral, Mistral)

- Various inferencing mechanisms transformer/pipeline, vllm

- Agentic framework: langgraph

- Evaluation frameworks: RAGAS, langsmith, phoenix-arize

- Embedding (all-MiniLM-L6-v2, all-mpnet-base-v2)

- LLM development framework : Langchain, LlamaIndex

- Rest API, FastAPI, Websockets

- Enterprise Redis Database

• Strong programming experience with Python
• Must have experience of working with Model Risk Management/Model Governance, which includes

- Delivering on a Gen AI project following the model governance guidelines

- Writing a model document

- Building model monitoring capabilities

• Angular experience a huge plus
• Experience with Slurm, Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus
• Advanced degree, or equivalent experience, in mathematics, data science or other quantitative discipline
• Demonstrated success in executing high value, enterprise projects with clear articulation of benefits, costs and risk
• Superb communication, coaching and management skills across multiple business stakeholders and IT as well as external partners
• Desire to use modern technologies as a disruptive influence within the Finance domain

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.