Subcontractor-GEN AI

Birlasoft; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Birlasoft in Bengaluru is seeking a Gen AI Engineer to design and implement Generative AI solutions for enterprise challenges. You will build AI agents, workflows, and orchestration frameworks, and develop POCs to demonstrate business value.

The role requires strong Python skills, experience with LLMs and prompt engineering, and cloud platform familiarity. You will collaborate with cross-functional teams, ensure scalable production deployments, and stay current with AI trends.

Qualifications

• Bachelor's or Master's in Computer Science or Engineering.
• Strong Python programming and clean coding skills.
• Hands-on Generative AI experience and agent-based systems.
• Understanding of LLMs, prompt engineering, RAG, and AI orchestration.
• Experience delivering POCs and technical prototypes.
• Cloud experience: Azure, AWS or GCP.
• Analytical, problem-solving, and collaborative mindset.

Responsibilities

• Design, develop, and implement Generative AI solutions for business challenges.
• Build AI agents, workflows, and orchestration frameworks for enterprise use.
• Develop POCs and prototypes to validate GenAI value.
• Collaborate with cross-functional teams to translate requirements into scalable solutions.
• Implement, test, and optimize LLM-based applications, including prompt engineering, RAG, and agent-based systems.
• Identify potential risks, edge cases, and performance considerations during design and implementation.
• Support deployment, monitoring, and continuous improvement of AI applications in production environments.
• Troubleshoot technical issues, take ownership of problem resolution, and drive solutions to completion.
• Stay current with emerging trends, tools, and best practices in Generative AI and agentic AI systems.

Skills

Python

Generative AI

LLMs

Prompt engineering

Cloud platforms

POCs / Prototypes

AI orchestration

Cross-functional

Problem solving

Education

Bachelors in CS/Engineering

Masters in CS/Engineering

Tools

LangChain

LangGraph

CrewAI

AutoGen

Vector databases

Job description

About Birlasoft

Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 11,000+ professional team committed to upholding the Group's 170-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Social Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.

Area(s) of responsibility

About Birlasoft

Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 11,000+ professional team committed to upholding the Group's 170-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Social Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.

Job Title –GEN AI
Location: Any BSL
Educational Background – Bachelor’s or master’s degree in computer science, Information Systems, or equivalent experience.

Responsibilities

• Design, develop, and implement Generative AI solutions to address business and technical challenges.
• Build and integrate AI agents, workflows, and orchestration frameworks for enterprise use cases.
• Develop proof-of-concepts (POCs) and prototypes to validate GenAI capabilities and business value.
• Collaborate with cross-functional teams to gather requirements and translate them into scalable AI solutions.
• Implement, test, and optimize LLM-based applications, including prompt engineering, RAG, and agent-based systems.
• Identify potential risks, edge cases, and performance considerations during solution design and implementation.
• Support deployment, monitoring, and continuous improvement of AI applications in production environments.
• Troubleshoot technical issues, take ownership of problem resolution, and drive solutions to completion.
• Stay current with emerging trends, tools, and best practices in Generative AI and agentic AI systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong programming skills, preferably in Python, with the ability to design and implement efficient solutions.
• Hands-on experience building Generative AI applications and agent-based systems.
• Good understanding of LLMs, prompt engineering, RAG architectures, and AI orchestration frameworks.
• Experience developing and delivering POCs and technical prototypes.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Strong analytical and problem-solving skills.
• Ability to work independently and take ownership of technical challenges.
• Good communication and collaboration skills.
• Demonstrated eagerness to learn new technologies and adapt to evolving AI ecosystems.

Preferred Skills

• Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar agent frameworks.
• Knowledge of vector databases, embeddings, and retrieval systems.
• Understanding of application scalability, monitoring, and production deployment considerations.
• Experience in evaluating AI solutions for reliability, performance, and business impact.
• Exposure to handling edge cases, failure scenarios, and responsible AI practices.