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Senior Gen AI Engineer (Freelancer)

Weekday -
Remote

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Job details

Contractual / Temporary
₹10,00,000 - ₹65,00,000 a year
5 days ago

Qualifications

CI/CD
Law
Software troubleshooting
Kubernetes
Software deployment
Master's degree
Application development
Databases
Docker
Machine learning
Continuous integration
APIs
AI
Communication skills

Full job description

This role is for one of our clients

Industry: Technology, Information and Media

Seniority level: Mid-Senior level

Min Experience: 5 years

Location: Remote (India)

JobType: Freelance / Contract

We are looking for a highly experienced Senior Gen AI Engineer (Freelancer) with 5–13 years of professional experience to design, develop, deploy, and optimize advanced Artificial Intelligence and Generative AI solutions. The ideal candidate will have strong hands-on expertise in AI, Generative AI, and forward deployment engineering, with the ability to work closely with business and technical teams to transform emerging AI capabilities into reliable, production-ready solutions.

This is a hands-on role suited for an engineer who thrives in fast-paced environments, enjoys solving complex technical problems, and can take AI initiatives from experimentation and prototyping through deployment and continuous improvement.

Key Responsibilities

Design, develop, and implement scalable AI and Generative AI solutions aligned with business and product requirements.
Build and productionize LLM-powered applications, intelligent automation systems, and AI-driven workflows.
Work as a Forward Deployment Engineer, partnering directly with customers, product teams, and internal stakeholders to understand real-world challenges and deliver tailored AI solutions.
Translate ambiguous business problems into practical AI architectures, prototypes, and production implementations.
Develop, test, deploy, and optimize AI models and applications across cloud and enterprise environments.
Integrate foundation models and LLM APIs into scalable applications while considering performance, reliability, security, and cost.
Evaluate emerging Gen AI technologies, frameworks, and models and determine their applicability to business use cases.
Troubleshoot model and application issues and continuously improve system quality, latency, scalability, and accuracy.
Collaborate with software engineers, data scientists, product managers, and other stakeholders to deliver end-to-end AI solutions.
Develop reusable components, APIs, tools, and frameworks that accelerate the deployment of AI applications.
Establish appropriate evaluation, monitoring, and testing approaches for AI and LLM-based systems.
Stay current with developments in Generative AI, LLMs, AI agents, model orchestration, and enterprise AI deployment.

Must-Have Skills

5–13 years of experience in software engineering, Artificial Intelligence, Machine Learning, or related technical domains.
Strong hands-on experience in AI and Generative AI application development.
Solid understanding of Large Language Models (LLMs), foundation models, prompt engineering, model APIs, and AI application architecture.
Proven experience taking AI solutions from prototype to production.
Strong Forward Deployment Engineering mindset with the ability to work directly with users or customers and rapidly build solutions around their requirements.
Strong programming and software engineering fundamentals.
Experience designing scalable, reliable, and maintainable AI-powered systems.
Ability to independently investigate technical problems and deliver solutions in ambiguous and rapidly changing environments.
Strong communication and collaboration skills, particularly when working across technical and non-technical teams.

Good-to-Have Skills

Experience with LangChain or similar LLM orchestration frameworks.
Hands-on experience building Agentic AI systems, autonomous workflows, or AI agents.
Experience implementing Retrieval-Augmented Generation (RAG) pipelines.
Knowledge of vector databases, embeddings, semantic search, and document processing.
Familiarity with AI evaluation frameworks, observability, guardrails, and LLM application monitoring.
Experience with cloud platforms and modern deployment practices such as Docker, Kubernetes, and CI/CD.
Exposure to multi-agent architectures, tool calling, function calling, and workflow orchestration.

Engagement

Role: Senior Gen AI Engineer (Freelancer)
Experience: 5–13 Years
Engagement Type: Freelance / Contract
Focus: AI \u007C Generative AI \u007C Forward Deployment Engineering
Preferred: LangChain \u007C Agentic AI \u007C RAG

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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