Senior AI Engineer

PeopleStrong; Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

PeopleStrong in Bengaluru, India, is seeking an experienced AI Engineer Lead to design, build, and deploy scalable AI/ML solutions, including Generative AI, LLMs, embeddings, and RAG.

You will mentor a diverse team, align projects with business and data strategy, drive reusable data frameworks, ensure data quality and security, and coordinate with stakeholders to deliver on timelines.

Qualifications

• 4.5–7 years of experience in scalable AI/ML solution development.
• Strong knowledge of data modeling, SQL/NoSQL, and SDLC practices.
• Experience with Generative AI, LLMs, embeddings, and retrieval techniques.
• Design and optimize RAG solutions.
• Experience with Databricks, Docker, Kubernetes, and cloud platforms (Azure/GCP/AWS).

Responsibilities

• Design, build, and maintain scalable AI solutions.
• Lead and mentor AI Engineers; drive a collaborative team.
• Coordinate with stakeholders to gather requirements and set timelines.
• Ensure data quality, security, and alignment with data strategy.
• Develop reusable data frameworks and optimize data operations.
• Translate client requirements into technical outcomes.

Skills

AI/ML development

Data modeling

SQL/NoSQL

RAG design

Python (Pandas/NumPy)

Prompt engineering

Cloud platforms

GitHub collaboration

CI/CD basics

Team leadership

Tools

Databricks

Docker

Kubernetes

GitHub

FastAPI

SQL

NoSQL

Azure

AWS

GCP

Job description

• Responsible for designing, building, and maintaining scalable AI solutions
• Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering)
• Ensure that data architectures and infrastructure can scale seamlessly as the data volume and complexity grow
• Lead, mentor, and develop a team of AI Engineers, fostering a collaborative and inclusive team environment
• Identify and address skill gaps, and provide opportunities for professional development
• Coordinate with stakeholders to gather requirements, set priorities, and define project timelines
• Ensure projects align with overall business objectives and data strategy
• Ensure data quality, integrity, and security across all data engineering projects
• Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations
• Ability to build/drive reusable frameworks that can drive efficiency of the overall data system
• Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes

Required Skills (Must have)

Tech:

• Experience of 4.5-7 years in development and deployment of scalable AI/ML solutions
• Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc
• Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering)
• Design and optimize Retrieval-Augmented Generation (RAG) solutions
• Manage Databricks workflows, including job and cluster creation also Databricks API
• Apply data structures and algorithms knowledge, including multiprocessing and optimization techniques
• Utilize Python libraries (Pandas, Numpy, FastAPI) for data processing and API development
• Perform SQL optimization and database architecture design (schema creation, normalization, functions, triggers)
• Deploy and orchestrate AI models using Docker and Kubernetes
• Collaborate using GitHub for version control and team collaboration
• Work with cloud platforms for AI solution deployment and management (Azure, GCP, AWS)
• Basic understanding of CI/CD pipelines and deployment process

Non-Tech:

• Strong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients
• Proficient in written and verbal communication and able to hold conversations with mid-management-level clients
• Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact
• Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation
• Shows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team

Good to Have Skills

• Familiarity with data visualization tools and techniques
• Knowledge of data security and privacy practices
• Understanding of data governance and compliance frameworks
• Experience with graph databases and graph processing frameworks
• Experience with data virtualization and data federation techniques
• Proficiency in data profiling and data quality management
• Self-driven with a strong sense of ownership