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You will take ownership of the search infrastructure for Ask us - a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

What You'll Do:
Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do:
Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
Performance Optimization:
-Reduce end-to-end latency through asynchronous processing and streaming (SSE).
-Implement semantic caching strategies to minimize API costs and response time.
-Optimize token usage without sacrificing answer quality.
Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

We are looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

What You'll Do:
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives.
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security.
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization.
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.

We are seeking an Engineer specializing in satellite signal analysis and system-level investigation, to join its Ground Systems and Integrated Solutions team.

The role combines RF engineering, satellite communications, system analysis, and operational troubleshooting, with a strong focus on investigating and understanding complex signal behavior in satellite environments.

This role is suited for engineers who enjoy deep technical analysis, problem solving, and working with space-based systems. Satellite Communication knowledge is required.

Responsibilities:
Advanced analysis of satellite signals.
Investigation of RF behavior and anomalies.
System-level performance analysis.
Field and lab activities.
Training documentation generation and presentation.

We are looking for a Solutions Engineer to join our growing Earth Observation, Tracking, Telemetry & Command (TT&C), New Space and Integrated Solutions business line, working closely with our Sales and Engineering teams.

In this role, you will act as a technical subject matter expert (SME), leading customer engagements, defining system architecture, preparing proposals, and delivering technical presentations.

You will leverage your skills and expertise to tailor solutions that meet mission-critical customer requirements in the ground systems and integrated solutions sectors.

This is a key technical-commercial position, directly influencing the company's ability to win new business and expand into emerging markets.

Responsibilities:
Act as a technical authority for multidisciplinary systems involving mechanics, electronics, software, and RF communication.
Lead technical engagements with prospects and customers: requirements gathering, solution design, system architecture, block diagram development, and technical risk assessment.
Prepare and deliver high-quality proposals:
Analyze customer specifications, SOWs, and RFPs.
Develop competitive solution concepts, costing, and technical documentation.
Perform technical risk analysis and competition analysis.
Work with the Sales team by conducting technical presentations and demonstrations that articulate the features and advantages of company solutions.
Collaborate with subcontractors, third-party partners, and internal stakeholders (engineering, finance, operations, executive team) to develop winning solutions.
Maintain deep knowledge of the companys product portfolio, new technologies, and evolving industry trends.
Support continuous improvement of proposal generation processes, tools, templates, and best practices.
Perform Link Budget Analysis and basic RF performance assessments as part of solution definition.
Mentor and support internal sales associates to enhance their technical understanding and customer engagement capabilities.
Participate in product strategy discussions by providing technical market feedback to influence future developments.