Accelon Consulting
Company:
https://www.linkedin.com/company/accelonconsulting
Seniority: Mid-Senior level
Industries: Software Development
Job details:
Job Description
- Design and build AI-powered tools to improve software engineering and operational workflows across multiple product teams.
- Collaborate with technical leads and engineers to understand priorities, codebases, architecture, deployment, and engineering toil sources.
- Translate needs into practical AI solutions adopted by teams.
- Work hands-on in applied AI domains: developer productivity, workflow automation, retrieval and knowledge systems, agentic workflows, intelligent engineering tools.
- Ensure systems are evaluated, observable, reliable, and secure for daily engineering use.
- Communicate effectively to gather requirements, explain trade-offs, negotiate scope, and document decisions.
Required Skills & Qualifications
Must-have:
- 5-7 years of experience overall, 3+ years relevant.
- Strong software engineering experience in production apps, developer tools, automation, internal platforms, or data-intensive services.
- Proficiency in Python, TypeScript, Java, or similar.
- Experience delivering LLM-powered applications.
- Experience with retrieval-augmented generation, agentic AI workflows, AI developer/operational tools, workflow automation, AI evaluation/monitoring.
- Integration experience with Git, CI/CD, issue trackers, documentation, logging, feature flags, messaging.
- Strong understanding of APIs, testing, debugging, observability, authentication, error handling, secure delivery.
- Ability to learn unfamiliar systems by reading code and collaborating.
- Experience managing ambiguous problems through design, implementation, validation, rollout, adoption.
- Strong communication skills for technical collaboration.
- Ability to work independently and manage multiple priorities.
Nice-to-have:
- Experience with agent frameworks (LangGraph, OpenAI Agents SDK, LangChain).
- Knowledge systems (semantic/hybrid retrieval, embeddings, sources like Git, Confluence, Jira).
- Code intelligence/search (source-code indexing, dependency graphs, OpenSearch, Elasticsearch).
- Agentic system design (planning, tool use, memory, retries, human approval).
- Developer tooling and coding agents (Claude Code, Cursor, GitHub Copilot).
- Tool integration and automation (function calling, APIs, event-driven workflows).
- Evaluation and observability (synthetic evaluations, regression testing, LLM-as-judge, LangSmith, OpenTelemetry).
- Familiarity with AI models and security (Anthropic, OpenAI, Amazon Bedrock, guardrails, secure data handling).
- Systems and infrastructure (deployment using containers, APIs, workflow engines).
- Proven track record shipping AI tools impacting productivity, quality, reliability, cost, or operations.
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