{"schemaVersion":"jobsearcher.job.v1","id":"7463f80bf925059046bcb060","url":"https://jobsearcher.com/jobs/7463f80bf925059046bcb060","canonicalUrl":"https://jobsearcher.com/jobs/7463f80bf925059046bcb060","title":"Senior Python Developer with Java experience","description":"Job DescriptionTOP 5 SKILLS REQUIRED: 5-7 years of experience in Python with 1-3 years of experience in Java Agentic / LLM Engineer experience using LangGraph agentic framework RAG / Knowledge graph AWS & Kubernetes Experience in AI observability platforms (Langsmith / Langfuse)Additional requirementsCore Software Engineering Skills (Must Have) Strong coding in Python (often primary) and/or TypeScript/Java. Solid fundamentals: data structures, APIs, concurrency/async, error handling, clean architecture. Experience building microservices and integrating with internal/external APIs. Familiarity with CI/CD, automated testing, code reviews, and release management.Agentic / LLM Engineering Skills (Must Have) Designing and implementing agent workflows: planning? tool selection? execution? verification. Tool/function calling patterns and building reliable tool interfaces (idempotency, retries, timeouts). Prompt engineering plus prompt/version management and safe prompt templating. Handling non-determinism: evaluations, guardrails, deterministic fallbacks, and replayable runs. Building multi-step orchestration (state machines, DAGs, workflow engines, or agent frameworks).Retrieval + Knowledge Integration (Often Required) Building RAG pipelines: chunking, embeddings, indexing, retrieval strategies, reranking. Working knowledge of vector databases (e.g., Pinecone, pgvector, FAISS, Weaviate) and search. Grounding and citation approaches; freshness and permission-aware retrieval.Reliability, Safety, and Governance Implementing guardrails: PII redaction, prompt injection defenses, policy filters, allow/deny tool lists. Designing for observability: tracing agent steps, tool calls, latency, token/cost metrics. Building robust fallbacks (rule-based flows, smaller models, cached answers, human escalation). Secure handling of secrets and credentials; least-privilege tool access.Evaluation & Quality (Critical for Agentic Systems) Creating evaluation suites: golden tasks, regression sets, scenario tests, adversarial tests. Defining success metrics (task completion rate, groundedness, hallucination rate, latency, cost). Experience with A/B testing or online evaluation in production.Platform/Infrastructure (Preferred) Cloud experience (AWS/Azure/Google Cloud Platform), containers (Docker), optionally Kubernetes. Familiarity with scalable data pipelines and queues (Kafka/SQS/PubSub) for async agent work. Experience optimizing inference costs/latency (model choice, batching, caching, token reduction).Nice-to-Haves Experience with frameworks like LangChain, LlamaIndex, or workflow engines (Temporal, Step Functions, Airflow). Knowledge of security engineering relevant to LLM apps (prompt injection, data exfiltration patterns). Domain expertise in the product area (e.g., telecom operations, network management, customer support).Soft Skills Strong cross-functional collaboration with product, security, and platform teams. Ability to translate business workflows into agent capabilities and measurable outcomes. Comfortable operating in ambiguity and iterating from prototype ? hardened production.","company":"Ekcel Technologies","rawCompany":"ekcel technologies","city":"Alpharetta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-04-30T13:04:00.917Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Python Developer with Java experience","description":"Job DescriptionTOP 5 SKILLS REQUIRED: 5-7 years of experience in Python with 1-3 years of experience in Java Agentic / LLM Engineer experience using LangGraph agentic framework RAG / Knowledge graph AWS & Kubernetes Experience in AI observability platforms (Langsmith / Langfuse)Additional requirementsCore Software Engineering Skills (Must Have) Strong coding in Python (often primary) and/or TypeScript/Java. Solid fundamentals: data structures, APIs, concurrency/async, error handling, clean architecture. Experience building microservices and integrating with internal/external APIs. Familiarity with CI/CD, automated testing, code reviews, and release management.Agentic / LLM Engineering Skills (Must Have) Designing and implementing agent workflows: planning? tool selection? execution? verification. Tool/function calling patterns and building reliable tool interfaces (idempotency, retries, timeouts). Prompt engineering plus prompt/version management and safe prompt templating. Handling non-determinism: evaluations, guardrails, deterministic fallbacks, and replayable runs. Building multi-step orchestration (state machines, DAGs, workflow engines, or agent frameworks).Retrieval + Knowledge Integration (Often Required) Building RAG pipelines: chunking, embeddings, indexing, retrieval strategies, reranking. Working knowledge of vector databases (e.g., Pinecone, pgvector, FAISS, Weaviate) and search. Grounding and citation approaches; freshness and permission-aware retrieval.Reliability, Safety, and Governance Implementing guardrails: PII redaction, prompt injection defenses, policy filters, allow/deny tool lists. Designing for observability: tracing agent steps, tool calls, latency, token/cost metrics. Building robust fallbacks (rule-based flows, smaller models, cached answers, human escalation). Secure handling of secrets and credentials; least-privilege tool access.Evaluation & Quality (Critical for Agentic Systems) Creating evaluation suites: golden tasks, regression sets, scenario tests, adversarial tests. Defining success metrics (task completion rate, groundedness, hallucination rate, latency, cost). Experience with A/B testing or online evaluation in production.Platform/Infrastructure (Preferred) Cloud experience (AWS/Azure/Google Cloud Platform), containers (Docker), optionally Kubernetes. Familiarity with scalable data pipelines and queues (Kafka/SQS/PubSub) for async agent work. Experience optimizing inference costs/latency (model choice, batching, caching, token reduction).Nice-to-Haves Experience with frameworks like LangChain, LlamaIndex, or workflow engines (Temporal, Step Functions, Airflow). Knowledge of security engineering relevant to LLM apps (prompt injection, data exfiltration patterns). Domain expertise in the product area (e.g., telecom operations, network management, customer support).Soft Skills Strong cross-functional collaboration with product, security, and platform teams. Ability to translate business workflows into agent capabilities and measurable outcomes. Comfortable operating in ambiguity and iterating from prototype ? hardened production.","datePosted":"2026-04-30T13:04:00.917Z","dateModified":"2026-04-30T13:04:00.917Z","hiringOrganization":{"@type":"Organization","name":"Ekcel Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alpharetta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7463f80bf925059046bcb060"},"url":"https://jobsearcher.com/jobs/7463f80bf925059046bcb060"}}