{"id":3729620,"url":"https://alion.io/job/strategic-systems-international-forward-deployed-engineer","title":"Forward Deployed Engineer","company":{"id":4417037,"name":"Strategic Systems International","domain":"ssidecisions.com","url":"https://alion.io/company/ssidecisions","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lahore, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"OpenSearch","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Claude Code","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"closed","first_seen_at":"2026-11-04T04:33:13Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-05T07:47:18Z","board_verified":false,"closed_at":"2026-11-05T07:47:18Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Forward Deployed Engineer (Python / AI)\nJob Summary\nWe are looking for a skilled Forward Deployed Engineer with strong experience in Python software engineering, Artificial Intelligence, and production deployment. The ideal candidate will be responsible for developing, integrating, and deploying AI-powered applications and solutions that address real-world business challenges.\nThe role requires a hands-on engineer who can work closely with business stakeholders, understand their requirements, and translate them into scalable, reliable, and production-ready technical solutions.\nKey Responsibilities\nDesign, develop, and maintain scalable software applications using Python.\nBuild and integrate AI-powered applications, LLM-based solutions, and intelligent automation workflows.\nDevelop AI agents and agentic workflows to automate business processes and improve operational efficiency.\nImplement Retrieval-Augmented Generation (RAG) solutions and integrate LLMs into existing applications.\nDeploy, manage, and maintain applications in production environments.\nWork with cloud platforms, particularly AWS services such as S3, OpenSearch, and DynamoDB.\nUtilize Docker, Kubernetes, and CI/CD pipelines for application deployment and management.\nCollaborate with cross-functional teams and business stakeholders to understand requirements and deliver effective solutions.\nMonitor application performance, troubleshoot issues, and continuously improve deployed solutions.\nEnsure code quality, scalability, security, and maintainability across applications.\nRequired Skills & Qualifications\nBachelor's degree in Computer Science, Software Engineering, or a related field.\n5+ years of professional software engineering experience.\nStrong proficiency in Python and backend application development.\nHands-on experience developing AI-powered applications and integrating Large Language Models (LLMs).\nExperience with AI agents, agentic workflows, or Retrieval-Augmented Generation (RAG).\nPractical experience deploying and maintaining applications in production environments.\nWorking knowledge of AWS services, preferably S3, OpenSearch, and DynamoDB.\nExperience with Docker, Kubernetes, and CI/CD pipelines.\nFamiliarity with GitHub Actions or similar automation tools.\nStrong problem-solving, analytical, and communication skills.\nAbility to work independently and collaborate with technical and non-technical stakeholders.\nPreferred Qualifications\nExperience in financial services, fintech, investment management, or capital markets.\nExposure to Model Context Protocol (MCP), Claude Code, and agentic coding tools.\nExperience working with financial documents, market data, SEC filings, and enterprise data sources.\nExperience delivering end-to-end AI solutions, from requirements gathering to production deployment.\nWhat We Offer\nOpportunity to work on innovative AI-driven engineering solutions.\nExposure to modern AI technologies and enterprise-scale applications.\nCollaborative and technically driven work environment.\nOpportunities for professional growth and development.\nA CULTURE OF BELONGING: At our core, we value diversity and inclusion. 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