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Junior AI Engineer

AlifCloud IT Consulting
Full-time
On-site
Pune City, Maharashtra, India
Position: Junior AI Engineer   <\/b><\/span>
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Type: Full -time<\/b><\/span>
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Worksite: Work from the Office <\/b><\/span>
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Work Location: NIBM Pune (Kondhwa)<\/b><\/span>
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Experience Level: 3 to 5 Years <\/b><\/span>
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Team: AI Engineering & Product Delivery<\/b><\/span>
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Technology: Full -Stack AI Systems (LLMs & Product Integration)<\/b><\/span>
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Role Overview<\/b>
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We are hiring a Junior AI Engineer to support the development of intelligent microservices and LLM -powered experiences. This is a hands -on development role focused on implementing backend services, integrating prompt workflows, and building APIs to deliver real -time insights. You’ll work closely with both the senior AI architect and the product team to bring AI capabilities to life.
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Core Responsibilities<\/b>
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  • Implement and maintain AI -driven APIs and microservices using Python (FastAPI) and async workflows.
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  • Integrate LLM models for tasks such as dynamic content generation, candidate evaluations, and smart recommendations.
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  • Build embedding pipelines for search, matching, and personalization features using tools like FAISS or LangChain.
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  • Collaborate with the product team to iterate on features and refine user -facing AI experiences.
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  • Assist in prompt creation, validation, and performance tuning using available LLMOps toolchains.
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  • Handle data modeling, schema updates, and metadata tracking in PostgreSQL and MongoDB.
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  • Support CI/CD, logging, and deployment processes in a cloud -native infrastructure setup.
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    Required Skills<\/b>
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    • 3–6 years of experience in backend or full -stack engineering, with at least 1 year of applied experience in AI or LLM -integrated systems.
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    • Strong experience in Python, especially with FastAPI or Flask, and asynchronous programming.
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    • Familiarity with OpenAI APIs, LangChain, or similar libraries for prompt -based workflows.
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    • Experience working with REST APIs, JSON schemas, and cloud databases (PostgreSQL, MongoDB).
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    • Exposure to containerized development, CI/CD practices, and logging/monitoring tools.
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    • Willingness to collaborate closely with product and design teams, taking ownership of full implementation cycles.
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      Tech Stack<\/b>
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      • Languages & Frameworks: Python (FastAPI, Pydantic), JavaScript/React (basic familiarity preferred)
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      • AI & LLM Tools: OpenAI API, LangChain, LlamaIndex, FAISS (or Azure Cognitive Search)
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      • Data & Storage: PostgreSQL, MongoDB, Redis
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      • Infra & Deployment: Docker, GitHub Actions, Azure Container Apps (preferred)
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      • Event & Async: Kafka or Event Hubs, Celery, AsyncIO tasks
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      • Security & DevOps: JWT, OAuth2, Key Vault (preferred), logging (Sentry), monitoring (Grafana, Prometheus)<\/span><\/span>
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