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Technologies & tools

Must have

Nice to have

AWS

We are looking to hire Backend GenAI Engineers to help build and scale enterprise-grade AI solutions. In this role, you will be responsible for designing and developing the core architecture that powers our AI initiatives, including ingestion frameworks, integration services, schema design, transformation workflows, and scalable platform components. You will play a key role in enabling the development, deployment, and optimization of advanced AI/ML and Generative AI applications across the organization. This is a hybrid work opportunity, with an expectation of 3 days per week onsite at our Bangalore office locations.

Your tasks

Creating intelligent Agentic AI workflows using LangGraph and LangChain to solve complex business challenges
Designing scalable multi-agent architectures with advanced routing, memory, and checkpointing capabilities
Building end-to-end RAG solutions that deliver accurate, context-aware, and actionable AI responses
Integrating AWS Bedrock, AgentCore, and enterprise services to power production-ready AI applications
Developing natural language-to-SQL solutions that transform user queries into meaningful business insights
Leveraging vector databases such as Pinecone, ChromaDB, or FAISS to enable efficient semantic search and retrieval
Developing high-performance Python applications using FastAPI, Pydantic, and modern software engineering practices
Optimizing Generative AI solutions across OpenAI, Claude, Gemini, and Llama models to maximize performance and reliability

Requirements

Minimum 4 years of experience in AI/ML development, with a strong focus on Generative AI solutions
Experience with Generative AI and LLMs, including OpenAI, Claude, Gemini, and Llama
Hands-on expertise in LangGraph and LangChain, including agent orchestration, memory management, and tool integration
Proven experience with AWS Bedrock and AWS AgentCore for developing and deploying enterprise AI solutions
Strong proficiency in Python, including FastAPI, Pydantic, and asynchronous programming for production-grade applications
Previous work in building end-to-end RAG pipelines and working with vector databases such as Pinecone, ChromaDB, FAISS, or OpenSearch
Strong knowledge of SQL, NL-to-SQL, and AI-powered data access patterns; Snowflake experience is an advantage
Excellent communication skills with fluent English proficiency - minimum B2 level

Nice to have

Previous work with AWS AgentCore, including Runtime, Memory, and Tools Gateway
Knowledge of MCP (Model Context Protocol) and Agent-to-Agent (A2A) communication frameworks
Experience integrating AI solutions with SAP HANA, Salesforce, and other enterprise platforms
Familiarity with Document Intelligence, OCR, AI evaluation frameworks (RAGAS, Promptfoo, DeepEval), and relevant AWS, GCP, or Azure AI certifications

Job no. JOB-L3X83

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Technologie i narzędzia

Wymagane

Generatywna sztuczna inteligencja Python RAG

Mile widziane

AWS

Szukamy Backend GenAI Engineerów, którzy pomogą w budowie i skalowaniu rozwiązań AI klasy enterprise. W tej roli będziesz odpowiedzialny za projektowanie i rozwój podstawowej architektury, która napędza nasze inicjatywy AI, w tym ramy wchłaniania, usługi integracyjne, projektowanie schematów, przepływy transformacji i skalowalne komponenty platformy. Odegrasz kluczową rolę w umożliwieniu rozwoju, wdrażania i optymalizacji zaawansowanych aplikacji AI/ML i Generative AI w całej organizacji. To jest możliwość pracy hybrydowej, z oczekiwaniem 3 dni w tygodniu w biurze w Bangalore.

Twoje zadania

Tworzenie inteligentnych przepływów pracy Agentic AI przy użyciu LangGraph i LangChain w celu rozwiązania złożonych wyzwań biznesowych
Projektowanie skalowalnych architektur wieloagentowych z zaawansowanym routowaniem, pamięcią i możliwościami punktów kontrolnych
Budowanie rozwiązań RAG end-to-end, które dostarczają dokładne, kontekstowe i wykonalne odpowiedzi AI
Integracja AWS Bedrock, AgentCore i usług przedsiębiorstw w celu zasilania aplikacji AI gotowych do produkcji
Opracowywanie rozwiązań natural language-to-SQL, które przekształcają zapytania użytkowników w znaczące spostrzeżenia biznesowe
Wykorzystanie baz danych wektorowych, takich jak Pinecone, ChromaDB lub FAISS, w celu umożliwienia efektywnego wyszukiwania semantycznego i pobierania danych
Rozwój aplikacji Python o wysokiej wydajności przy użyciu FastAPI, Pydantic i nowoczesnych praktyk inżynieryjnych
Optymalizacja rozwiązań Generative AI w ramach modeli OpenAI, Claude, Gemini i Llama w celu maksymalizacji wydajności i niezawodności

Wymagania

Minimum 4-letnie doświadczenie w rozwoju AI/ML, z silnym naciskiem na rozwiązania Generative AI
Doświadczenie z Generative AI i LLM, w tym OpenAI, Claude, Gemini i Llama
Praktyczna wiedza w zakresie LangGraph i LangChain, w tym orkiestracja agentów, zarządzanie pamięcią i integracja narzędzi
Udokumentowane doświadczenie z AWS Bedrock i AWS AgentCore w zakresie opracowywania i wdrażania rozwiązań AI dla przedsiębiorstw
Silna znajomość Pythona, w tym FastAPI, Pydantic i programowanie asynchroniczne dla aplikacji gotowych do produkcji
Poprzednia praca przy budowaniu end-to-end pipeline'ów RAG oraz praca z bazami danych wektorowymi, takimi jak Pinecone, ChromaDB, FAISS lub OpenSearch
Silna wiedza z zakresu SQL, NL-to-SQL i wzorców dostępu do danych wspomaganych AI; doświadczenie w Snowflake jest dodatkowym atutem
Doskonałe umiejętności komunikacyjne z biegłą znajomością języka angielskiego - minimum poziom B2

Mile widziane

Poprzednia praca z AWS AgentCore, w tym Runtime, Memory i Tools Gateway
Znajomość MCP (Model Context Protocol) i frameworków komunikacji Agent-to-Agent (A2A)
Doświadczenie w integracji rozwiązań AI z SAP HANA, Salesforce i innymi platformami przedsiębiorstw
Znajomość Document Intelligence, OCR, frameworków oceny AI (RAGAS, Promptfoo, DeepEval) oraz odpowiednich certyfikatów AI AWS, GCP lub Azure

Nr oferty JOB-L3X83

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