Transforming how businesses optimize their data operations with our industry-leading data observability platform. We help organizations maximize performance, reduce costs, and ensure reliability across their complex data ecosystems including Databricks, Snowflake, BigQuery, Amazon EMR, Spark, and Kafka. Our intelligent platform empowers data teams to troubleshoot faster, automate optimization, and extract more value from their data infrastructure investments.
Location: Bangalore/Remote
ROLE DESCRIPTION
We are looking for a highly skilled Python Engineer with experience in building AI Agents . The candidate will play a key role in transforming existing partial projects into scalable AI Agents and creating differentiated AI-driven products that leverage Unique Data Sources, Domain Expertise,
and LLMs.
This is a high-impact role where you will work at the intersection of data engineering, applied AI, and product innovation, helping us release AI Agents rapidly to strengthen our market's leadership.
SKILLS REQUIRED
-
6-10 years of experience in Python development
- Strong background in data wrangling, analysis, and visualization (pandas, NumPy, matplotlib, etc.)
- Hands-on experience with LLMs, NLP, or Generative AI projects
- Working knowledge of agent frameworks (LangChain, Haystack, LlamaIndex, etc.) is preferred
- Experience in building RESTful APIs and backend services using FastAPI, Flask, or Django
- Experience working with Databricks for large-scale data engineering and analytics
- Familiarity with cloud platforms (AWS/GCP/Azure) and serverless computing
- Familiarity with the Hadoop ecosystem (HDFS, Hive, Spark, etc.) and big data processing frameworks would be a plus
- Solid grasp of software engineering principles: modularity, testing, CICD, and scalability
- Strong problem-solving skills with a product innovation mindset
GOOD TO HAVE
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Exposure to MLOps pipelines and model deployment
- Knowledge of vector databases (Pinecone, Weaviate, FAISS, etc.) for LLM integrations
- Background in recommendation systems or applied ML
- Contribution to open-source AI/ML or agent frameworks
ROLES AND RESPONSIBILITIES
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Design, develop, and maintain Python-based AI/Agentic solutions
- Apply LLMs and GenAI techniques to enable reasoning, insights, and recommendations within Agents
- Collaborate with domain experts and product managers to shape innovative AI features aligned with customer needs and business goals
- Convert existing R&D projects and integrate domain-specific data sources into intelligent agents
- Contribute to new R&D projects for Agents via data collection, preprocessing, analysis, and presentation
- Ensure scalability and efficiency through serverless architectures, APIs, and microservices deployment (AWS/GCP/Azure)
- Stay ahead of the curve on LLM research, agent frameworks, and AI productization trends to drive continuous innovation
WHY JOIN US
We pride ourselves in building products and services that enrich and empower the way organizations use data. Our core values support the culture we build every day, guiding what we do, why we create and who we hire.
- Push boundaries - Think differently. We love to innovate, find new ways of doing things and leverage technology to simplify everything we do
- Entrepreneurial spirit - Bring a hunger to learn. Set goals and plans to achieve them. Be brave, remove barriers and let your curiosity guide you.
- Do great things, fast - We’re committed to executing flawless solutions, fast
- We before me - We leave our egos at the door. We celebrate wins together and learn from the losses as a team
- Communicate - The best ideas come out when we discuss them with like-minded people.
Never fear speaking up! That’s how we get the best product out.
- Sharing is growing - We never shy away from sharing a good idea. Every idea that helps to add a new feature or product is encouraged here!
